Automated avalanche hazard indication mapping on a statewide scale
Abstract 2) in the Swiss Alps. We calculate eight different scenarios with return periods ranging from frequent to very rare as well as with and without taking the protective effects of the forest into account, resulting in a total of approximately 2 million individual avalanche simulations. This approach combines the automated delineation of potential release areas, the calculation of release depths and the numerical simulation of the avalanche dynamics. We find that between 47 % (most frequent scenario) and 67 % (most extreme scenario) of the cantonal area can be affected by avalanches. Without forest, approximately 20 % more area would be endangered. This procedure can be applied worldwide, where high-spatial-resolution digital elevation models, detailed information on the forest and data on the snow climate are available, enabling reproducible hazard indication mapping also in regions where no avalanche hazard maps yet exist. This is invaluable for climate change studies. The simulation results are validated with official hazard maps, by assessments of avalanche experts, and by existing avalanche cadastres derived from manual mapping and mapping based on satellite datasets. The results for the canton of Grisons are now operationally applied in the daily hazard assessment work of the authorities. Based on these experiences, the proposed approach can be applied for further mountain regions.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Automated avalanche hazard indication mapping on a statewide scale ; volume:22 ; number:6 ; year:2022 ; pages:1825-1843 ; extent:19
Natural hazards and earth system sciences ; 22, Heft 6 (2022), 1825-1843 (gesamt 19)
- Creator
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Bühler, Yves
Bebi, Peter
Christen, Marc
Margreth, Stefan
Stoffel, Lukas
Stoffel, Andreas
Marty, Christoph
Schmucki, Gregor
Caviezel, Andrin
Kühne, Roderick
Wohlwend, Stephan
Bartelt, Perry
- DOI
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10.5194/nhess-22-1825-2022
- URN
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urn:nbn:de:101:1-2022060905313209768619
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:19 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bühler, Yves
- Bebi, Peter
- Christen, Marc
- Margreth, Stefan
- Stoffel, Lukas
- Stoffel, Andreas
- Marty, Christoph
- Schmucki, Gregor
- Caviezel, Andrin
- Kühne, Roderick
- Wohlwend, Stephan
- Bartelt, Perry
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Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping
Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large scale hazard indication mapping
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AutoATES v2.0: Automated avalanche terrain exposure scale mapping
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